DatasetLwaziANV

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Modelfacebook/omniASR-CTC-1BOpen5facebook/omniASR-CTC-300MOpen10facebook/omniASR-CTC-3BOpen1facebook/omniASR-LLM-1BOpen2facebook/omniASR-LLM-300MOpen5facebook/omniASR-LLM-3BOpen1facebook/omniASR-LLM-7BOpen0dsfsi/anv-whisper-large-v3-turbo-anv-zulOpen4dsfsi/anv-whisper-small-anv-zulu-first-batchOpen6openai/whisper-large-v3Open36openai/whisper-smallOpen148sitwala/whisper-large-anv-sotOpen51sitwala/whisper-large-v3-anv-sotOpen56sitwala/whisper-large-v3-turbo-anv-zul-150hOpen4sitwala/whisper-large-v3-turbo-anv-zul-250hOpen7sitwala/whisper-large-v3-turbo-anv-zul-50hOpen5

What did the model get wrong?

facebook/omniASR-CTC-300MOpen   Example 19 of 100  ·  sample index 18

✅ What was actually said (isiZulu reference)
Ngenxayokuthiiziphilincincizihlanganisainingileziphiliezingunongqamuzanazazozontathuizidlangalazempilolokhukwenzazingafani.IsidlangalasesithathuesiyiNswelandenisihlanganisazonkeiziphiliezingumangqamuzanakanyenezinanjazanenezinambiezingunongqamuzanaoyigciwane.
🤖 What this model heard
ngenxeyokuthiiziphilingcingcizihlanganisaiiningileziphiliezingunongqamuzanazazozontathuizidlangalazimpilolokhukwenzazingafanyaisidlangalasesithathuesiyintswelandenisihlanganisazonkeiziphiliezingumanqamuzanakanyenezinanjazanenezinambiezingunonqamuzanaoyigciwana
Correct
Wrong (different word)
Missed (skipped)
Extra (added)
17
Correct
9
Wrong
0
Missed
1
Extra
65%
Words right
0.385
WER
0.046
CER
34.44s
Duration
0.0s
Latency